Computational Photography Market by Technology ( Tone mapping, Defocus Matting, Motion magnification, Multi-Modal Imaging ) by Processing ( Single Lens Cameras, Dual Lens Cameras, Lens Cameras) by Operation ( Camera Module, Software) by Application ( Smartphone Camera, Standalone Camera, Machine Vision) by Industry Analysis, Volume, Share, Growth, Challenges, Trends and Forecast 2018–2026

Computational Photography Market is expected to reach USD 30.12 billion by 2026 at CAGR of 28.47%. Computational photography is an emerging research field that attempts to extend or enhance the capabilities of digital photography by adding computational elements to the imaging process. Computational imaging techniques that enhance or extend the capabilities of digital photography – output is an ordinary photograph, but one that could not have been taken by a traditional photography. Computational photography can capture the visual information by exploiting the synergistic combination of task-specific optics, illumination, and sensors challenging traditional digital cameras’ limitations.
 

Key aspects of Computational photography includes:

• Improved dynamic range
• Variable focus, resolution, and depth of field
• Aesthetic image framing
• Content-based image editing
• Hints about shape, reflectance, and lighting
• New interactive forms of photography
 

Computational photography can capture the visual information by exploiting the synergistic combination of task-specific optics, illumination, and sensors challenging traditional digital cameras’ limitations. Computational photography has broad applications in aesthetic and technical photography, 3D imaging, medical imaging, human-computer interaction, virtual/augmented reality and more.
 

Technological advancement in Computational photography have involved in more challenging issues to break traditional photography’s limitation. In digital refocusing technique controls DOF (Depth of Field) by software processing after shooting. In traditional photography practically no way to recover well focused photos by traditional methods such as deblurring functions in Photoshop. As of this ill-focused photos degrades the experience of real photography. Digital refocusing technique provides a good solution for such cases. Likewise, computational photography researches have been broadening the borders of photography making imaginary 3 functions possible. In such stream, I convince modern cameras will be evolved to more innovative forms.

Computational Photography Market: Competitive Analysis

Report includes accurate analysis of key players with Market Value, Company profile, SWOT analysis. The Study constitutes of following key players in Computational Photography Market:

• Alphabet

• Samsung Electronics

• Qualcomm Technologies

• Lytro

• Nvidia

• Canon

• Nikon

• Sony

• On Semiconductors

• Pelican Imaging

• Almalence

• Movidius

• Algolux

• Corephotonics

• Dxo Labs

• Affinity Media

Geographical analysis of Computational Photography Market :

• North America
       • U.S.A
       • Canada

• Europe

      • France
      • Germany
      • Spain
      • UK
      • Rest of Europe

• Asia Pacific
      • China
      • Japan
      • India
      • South East Asia

• Latin America
      • Brazil

• Middle East and Africa